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How to use the Anaconda Jupyter Notebook

Includes Markdown and IpyWidgets!!
3.9
3.9/5
(26 reviews)
858 students
Created by

7.8

Classbaze Grade®

7.5

Freshness

7.0

Popularity

8.4

Material

Includes Markdown and IpyWidgets!!
Platform: Udemy
Video: 56m
Language: English
Next start: On Demand

Best Jupyter Notebook classes:

Classbaze Rating

Classbaze Grade®

7.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

7.5 / 10
This course was last updated on 4/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

7.0 / 10
We analyzed factors such as the rating (3.9/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

8.4 / 10
Video Score: 7.7 / 10
The course includes 56m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 3 hours 08 minutes of 13 Jupyter Notebook courses on Udemy.
Detail Score: 7.9 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
1 resources.
0 exercise.
0 test.

In this page

About the course

The Jupyter Notebook is a valuable tool for data analytics and data science projects. It gives you the ability to write live code, equations, visualizations and narrative text into each project and share it with others. I use the Jupyter notebook daily at work to prototype applications. This course will give you the tools to get started using the Jupyter notebook. This is a companion series to my other Python/Pandas Series.

What can you learn from this course?

✓ The basics of using the Anaconda Jupyter Notebook

What you need to start the course?

• None

Who is this course is made for?

• Beginner Python Developers

Are there coupons or discounts for How to use the Anaconda Jupyter Notebook ? What is the current price?

The course costs $14.99. And currently there is a 25% discount on the original price of the course, which was $19.99. So you save $5 if you enroll the course now.
The average price is $12.9 of 13 Jupyter Notebook courses. So this course is 16% more expensive than the average Jupyter Notebook course on Udemy.

Will I be refunded if I'm not satisfied with the How to use the Anaconda Jupyter Notebook course?

YES, How to use the Anaconda Jupyter Notebook has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the How to use the Anaconda Jupyter Notebook course, but there is a $5 discount from the original price ($19.99). So the current price is just $14.99.

Who will teach this course? Can I trust Henry Palma?

Henry Palma has created 3 courses that got 126 reviews which are generally positive. Henry Palma has taught 2,425 students and received a 4.2 average review out of 126 reviews. Depending on the information available, we think that Henry Palma is an instructor that you can trust.
Software/Data Engineer/Mobile Developer
I have been working as a technologist for the last 18 years in multiple Financial institutions and technology consulting firms. I have worked in roles as a Data Analysts, Data Engineer, Software developer and Project/Program Manager. I enjoy both learning and teaching and look forward to providing great learning experiences here in Udemy.
Browse all courses by on Classbaze.

7.8

Classbaze Grade®

7.5

Freshness

7.0

Popularity

8.4

Material

Platform: Udemy
Video: 56m
Language: English
Next start: On Demand

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